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Author: jbspeakr

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_posts/2013-06-13-csv-to-json-python.md

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+---
+layout: post
+title:  CSV to JSON Conversion in Python
+date:   2013-06-13 17:02:16
+categories: Python
+description: How to convert a CSV-file into JSON? This Python code snippet helps you to generate a proper and valid JSON-file!
+---
+
+When it comes to data like a list of [top level domains](https://gist.github.com/jbspeakr/4466385) (TLDs) or similar small and mostly flat datasets, I prefer to work with JSON as a fundamental data structure. The reason for that is not just its great human-readability (which is really nice to have for newcomers), but also the smooth interaction with e.g. Python and JavaScript.
+
+Nevertheless it seems that the majority of open datasets is still published as classic CSV-files. This is totally fine regarding its highly compressed way of storing information, but sometimes you just want to have something much clearer.
+
+For that reason, you would probably want to convert your CSV-file into a proper and valid JSON-file. The following Python-Script is doing exactly this conversation:
+
+### Python-Script: Convert CSV to JSON
+{% highlight python %}
+import csv
+import json
+
+i = open('input.csv', 'r')
+reader = csv.DictReader(i)
+data = json.dumps([row for row in reader], indent=4)
+
+o = open('output.json', 'w')
+o.write(data)
+{% endhighlight %}
+
+In my eyes, the script is greatly self-explaining, what makes it unnecessary to bloat it with redundant comments. If you have any question, write a comment and I'll get back to you asap!
+
+*[JSON]: JavaScript Object Notation
+*[CSV]: Comma-Separated Values

_posts/2013-06-25-csv-to-yaml-python.md

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+---
+layout: post
+title:  CSV to YAML Conversion in Python
+date:   2013-06-25 16:20:00
+categories: Python
+description: Converting CSV into YAML is an easy task using the following Python code snippet! It helps generating proper and valid YAML-files!
+---
+
+YAML Ain't Markup Language, for what reason it is often used for data-oriented, rather than document markup. With its XML-inspired structure, YAML is used widely for setting files and to store large datasets.
+
+If you have plain CSV-files but would like to work using YAML, you need something like a CVS-to-YAML converter. The following Python-Script is doing exactly this conversation and creates valid YAML:
+
+### Python-Script: Convert CSV to YAML
+{% highlight python %}
+import csv
+import yaml
+
+i = open('input.csv', 'r')
+reader = csv.DictReader(i)
+
+data = yaml.safe_dump([row for row in reader], canonical=False,
+                      encoding='utf-8', allow_unicode=True,
+                      default_flow_style=False)
+
+o = open('output.yaml', 'w')
+o.write(data)
+{% endhighlight %}
+
+In my eyes, the script is greatly self-explaining, what makes it unnecessary to bloat it with redundant comments. Nevertheless, I am going to explain some of the YAML conversion parameters.
+
+- First, the used **safe_dump** method "produces only standard YAML tags" as it is stated in the [PyYAML doc](http://pyyaml.org/wiki/PyYAMLDocumentation#DumpingYAML) and for that reason "can not represent an arbitrary Python object".
+- The **encoding** and **allow_uniode** parameters should be pretty straight forward.
+- With **canonical** enabled, the dumper explicitly defines the types of the values within the YAML.
+- Disabling the **default_flow_style** results in a more human-readable output.
+
+If you have any question, write a comment and I'll get back to you asap!
+
+*[JSON]: JavaScript Object Notation
+*[CSV]: Comma-Separated Values
+*[YAML]: YAML Ain't Markup Language
+*[XML]: Extensible Markup Language